Bilde av Tofaily, Salma
Bilde av Tofaily, Salma
Stipendiat Informatihka instituhtta salma.tofaily@uit.no Tromsø

Salma Tofaily


Virgečilgehus

I am a PhD candidate at the Computer Science Department at UiT. I am a member of the Cyber Physical Systems group. I also assist in department work in 25 % of my PhD time.

My PhD project is around the energy efficiency of small computing devices, part of the Internet of Things (IoT) at the edge of the network, or Cyber Physical Systems. It addresses a knowledge gap about the potential variability of power measurements for specific workloads, on an IoT edge device, among homogenous or heterogeneous IoT edge devices. My efforts focus on methodologies for having accurate, precise, and repeatable energy measurements. I use diverse methodologies of real experiments, modelling, and simulation. Research results identify several pitfalls in experimental protocols (Next tab shows recent publications, open access on UiT Munin website). The insights that we have are highly useful for other researchers to achieve more accurate, precise, repeatable, and reliable energy characterization, especially for computation workloads. Consequently, the insights help avoid inaccurate characterization or estimation of battery lifetime on small IoT edge devices, that might need to operate on a constrained or limited energy budget. This interdisciplinary research merges computer science with electrical engineering. It is expected to have a high impact on other research that focuses on energy efficiency for IoT edge devices. I identified several gaps in the state of the art, which guide towards new research directions. The research I am conducting is still ongoing. Please feel free to contact me if you think that we can collaborate on producing new knowledge, work on exciting projects, discuss our research, or if you have any questions.

Research Mobility: I have collaborated with the AVALON team at ENS Lyon, France. One of the outcomes of the collaboration is a research paper that will be publicly available soon. This paper got the Best Paper Award at IEEE MASCOTS, in October 2025.

Other collaborations: I had internal collaborations within the CPS group. One of the outcome is a research paper that got a Distinguished Paper Award at IEEE GreenCom,in 2023.

My 25 % work at UiT, included:

- Teaching Assistance in the Master's course of Parallel programming (for 3 semesters): curriculums, assignment corrections, leading TAs, developing guidelines for TA processes.

- Teaching Assistance  in the Bachelor's level course of Software Engineering (for 1 semester): students groups advising to help them use the Agile methodolgoy in their projects.

- Lab work in the Cyber Physcial Systms group for the IoT Edge Testbed Project: Research and Development for building an accurate easy-to-do local power measurement setup, assisting in master student thesis work evaluation. 

- IEEE International Conference Organization (CCGrid 2025):  team lead for volunteers running the conference, assisting in local organization, sessions, and photography.

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I consider my role for creating a nice work environment.

I am happy to share experiences and discuss research topics with other colleages.

I am also happy to discuss software development topics for distributed systems, part of my previous 6 years work experience.


  • Salma Tofaily, Issam Rais, Otto Johan Anshus :
    Quantifying the variability of power and energy consumption for IoT edge nodes
    2023 DOI / ARKIV
  • Salma Tofaily, Issam Rais, Otto Johan Anshus :
    Representing Power Variability of an Idle IoT Edge Node in the Power State Model
    2023 DOI / ARKIV
  • Loïc Guégan, Salma Tofaily, Issam Rais :
    Design and Evaluation of Single-Board Computer Based Power Monitoring for IoT and Edge Systems
    2023 DOI / ARKIV
  • Loic Guegan, Salma Tofaily, Issam Rais :
    Design and Evaluation of Single-Board Computer Based Power Monitoring for IoT and Edge Systems
    2023
  • Salma Tofaily, Issam Rais, Otto Johan Anshus :
    Representing Power Variability of an Idle IoT Edge Node in the Power State Model
    2023
  • Salma Tofaily, Issam Rais, Otto Johan Anshus :
    Quantifying the variability of power and energy consumption for IoT edge nodes
    2023

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